Actuarium

CAS MAS-IIModern Actuarial Statistics II

Preliminary
4 hours·45 multiple-choice·350 study hours
Score 0/0 · 9 MC
  1. MAS-II · Q1
    Multiple choice
    Credibility (limited fluctuation, Bühlmann, Bühlmann–Straub)

    For a class of risks, the expected process variance is 200 and the variance of hypothetical means is 50. A risk has 8 years of experience. Calculate the Bühlmann credibility factor.

  2. MAS-II · Q2
    Multiple choice
    Bayesian analysis & MCMC

    Annual claim counts are Poisson(λ\lambda). The prior for λ\lambda is gamma with α=3\alpha=3, θ=0.5\theta=0.5. A risk has 4 claims in 2 years. Calculate the posterior mean of λ\lambda.

  3. MAS-II · Q3
    Multiple choice
    Credibility (limited fluctuation, Bühlmann, Bühlmann–Straub)

    Using limited-fluctuation credibility, the standard for full credibility is that the observed claim count be within 5% of expected with probability 90%. Claim counts are Poisson. Calculate the number of claims needed for full credibility.

  4. MAS-II · Q4
    Multiple choice
    Bayesian analysis & MCMC

    A Metropolis sampler with a symmetric proposal is at state xx with target density π(x)=0.50\pi(x)=0.50. The proposed state yy has π(y)=0.20\pi(y)=0.20. Calculate the probability the proposal is accepted.

  5. MAS-II · Q5
    Multiple choice
    Statistical learning (regularization, trees, boosting)

    Which statement about regularized regression is correct?

  6. MAS-II · Q6
    Written answer
    Credibility (limited fluctuation, Bühlmann, Bühlmann–Straub)

    Three policyholders have the following exposures and claim counts over the same period: A: 10 exposures, 3 claims; B: 30 exposures, 6 claims; C: 60 exposures, 9 claims. Assume Poisson frequency per exposure with EPV=0.20EPV=0.20 and VHM=0.01VHM=0.01. Compute the Bühlmann–Straub credibility-weighted frequency for each policyholder.

  7. MAS-II · Q7
    Multiple choice
    Linear mixed models

    A linear mixed model for territory-level pure premium includes a fixed intercept and a random territory intercept biN(0,τ2)b_i\sim N(0,\tau^2) with residual variance σ2\sigma^2. If τ2=50\tau^2=50 and σ2=200\sigma^2=200, calculate the intraclass correlation (the correlation between two observations in the same territory).

  8. MAS-II · Q8
    Multiple choice
    Credibility (limited fluctuation, Bühlmann, Bühlmann–Straub)

    Full credibility for claim frequency requires 1,082 claims (from the usual z0.95=1.645z_{0.95}=1.645, r=5%r=5\% standard). If claim severity has a coefficient of variation of 2.0, calculate the full credibility standard (in claim counts) for aggregate losses.

  9. MAS-II · Q9
    Multiple choice
    Bayesian analysis & MCMC

    A claim severity mean μ\mu has a Normal(100, 400) prior. A sample of 5 claims (assume known variance 900 per claim) has sample mean 130. Calculate the Bayesian posterior mean of μ\mu.

  10. MAS-II · Q10
    Multiple choice
    Statistical learning (regularization, trees, boosting)

    In gradient boosting for a Poisson loss model, decreasing the learning rate (shrinkage) while holding the number of trees fixed typically:

  11. MAS-II · Q11
    Written answer
    Credibility (limited fluctuation, Bühlmann, Bühlmann–Straub)

    A workers' compensation pool has three insureds with the following exposures and claim counts over 3 years: Insured 1: 20 exposures, 5 claims; Insured 2: 50 exposures, 8 claims; Insured 3: 100 exposures, 12 claims. The pool's overall EPV is 0.15 and VHM is 0.005. (a) Compute Bühlmann–Straub credibility for each insured. (b) Compute each insured's credibility-weighted estimated frequency using the pool average as the complement of credibility. (c) Explain qualitatively how the estimates would change if VHM were larger.

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